Ganesh K. Venayagamoorthy

Clemson University | CU · Department of Electrical and Computer Engineering

State estimation (SE) is an important energy management system application for power system operations. Linear state estimation (LSE) is a variant of SE based on linear relationships between state variables and measurements. LSE estimates system state variables, including bus voltage magnitudes and angles in an electric power transmission network,...

The complexity of the power system has increased due to recent grid modernization and active distribution systems. As a result, monitoring and controlling modern power systems have become challenging. Dynamic security assessment (DSA) in power systems is a critical operational situational awareness (OpSA) tool for the energy control center (ECC). S...

Hybrid electric vehicle power systems (VPSs) comprise of limited energy resources and variable load requirements. The functional status of components and subsystems that make up the VPS is critical to the overall system operation. The degradation and critical operating states of components affect system efficiency and reliability differently. There...

The modern bulk power system operation is complex and dynamic, with rapidly increasing inverter-based resources and active distribution systems. Therefore, high-speed monitoring is required to operate the power system reliably and efficiently. Transmission network topology processing (TNTP) is vital in power system control. Today’s TNTP is based on...

Renewable energy deployments in electric power systems are hindered due to high variability in the underlying solar irradiance and temperature (SIT). The uncertainty with distributed energy resources (DERs) requires system reserves to be increased. This requirement becomes more critical in power distribution systems as energy resources are disperse...

Power system transmission network topology is utilized in energy management system applications. Substation configurations are fundamental to transmission network topology processing. Modern power systems consisting of renewable energy sources require reliable and fast network topology processing due to the variable nature of wind and solar power p...

Voltage control in modern electric power distribution systems has become challenging due to the increasing penetration of distributed energy resources (DER). The current state-of-the-art voltage control is based on static/pre-determined DER volt-var curves. Static volt-var curves do not provide sufficient flexibility to address the temporal and spa...

Extensive research is being performed on renewable energy generation and utilisation due to decreasing fossil sources and environmental friendliness. Innovative methods in renewable energy generation and utilisation are rapidly becoming attractive. Many applications integrate renewable energy resources to existing utility grids or microgrids, or is...

In this paper, a scalable framework based on a hierarchical architecture for residential demand response (DR) is introduced. The architecture, which overlays the physical architecture of the power system, allows to decompose the problem into several parts and solve it in a distributed manner. The computational time required to solve the DR optimiza...

Abstract The power distribution system has increasing importance and complexity as a result of the exponential growth in the adoption of smart grid technologies. The ability to model the power distribution system is critical to ensure a smooth transition to a sustainable power system. This study presents a distributed data‐driven framework based on...

PV plant power excursions can have adverse implications on grid frequency. This phenomenon is observable due to inherently uncertain cloud transients across a local PV plant. Hence, provision of decision‐based controllers for centralized power inverters becomes imperative for supporting local grid operations. Such controllers can be improved to bet...

Power system steady-state security relates to its robustness under a normal state as well as to withstanding foreseeable contingencies without interruption to customer service. In this study, a novel cellular computation network (CCN) and hierarchical cellular rule-based fuzzy system (HCRFS) based online situation awareness method regarding steady-...

Interconnected power systems with large-scale penetration of photovoltaic (PV) power introduce frequency and tie-line power flow fluctuations. This is due to the variability and uncertainty characteristics of PV power. This makes automatic generation control (AGC) to be more challenging. In other words, maintaining system frequencies and tie-line p...

The power system can change very fast in reality. To control the system in real time, it is important to accelerate the computation processes related to it. As the states estimator is one of the most time‐consuming processes, it needs to be made fast and scalable. Different methods can be found in the literature to serve the purpose. It is importan...

The development and integration of technologies such as the Internet of Things (IoT) or edge computing devices is contributing to the formation of an increasingly digital, intelligent and connected world. As a result, there is a massive flow of data in different sectors of human activity. One example is intelligent buildings, where thousands of com...

https://ieeexplore.ieee.org/document/9107378/authors#authors ************************************************************************************************************************************************************************************************************************ This chapter presents meta‐heuristic optimization techniques for the s...

Photovoltaic inverters (PV-VSI) are deployed as the main technology in integrating PV systems to the grid. The operation of the PV-VSI is of paramount importance under all system operating conditions. Despite the current provision of deterministic and heuristic approaches in optimal-tuning of PV-VSI controller parameters, there is still a likelihoo...

In a hostile network environment, users must communicate without being detected. This involves blending in with the existing traffic. In some cases, a higher degree of secrecy is required. We present a proof-of-concept format transforming encryption (FTE)-based covert channel for tunneling TCP traffic through protected static protocols. Protected s...

This paper demonstrates the importance integrating Internet of Things (IoT) devices and technologies for efficient energy management in a building environment. An Elman recurrent neural network (RNN) model and an exponential model are developed for electric energy consumption prediction in an IoT driven building environment. The models predict elec...

Today’s society must prioritize the design and development of platforms for Big Data processing. Smart cities generate large volumes of valuable data which the government can use to manage cities more intelligently. Aware of the value of data, many researchers have proposed architectures for optimized data collection and use. This paper proposes a...

In a hostile network environment, users must communicate without being detected. This involves blending in with the existing traffic. In some cases, a higher degree of secrecy is required. We present a proof-of-concept format transforming encryption (FTE)-based covert channel for tunneling TCP traffic through protected static protocols. Protected s...

In this paper, the problem of robust adaptive fault-tolerant tracking control with state-prediction performance is analyzed for a class of Iot temperature systems subject to accuracy states uncertainties and external disturbances. In order to ensure the efficiency of our new adaptive temperature control algorithm, we propose a new control strategy...

The centralised utility-scale photovoltaic (PV) plants installation has greatly enlarged their percentage in the bulk power systems, along with the nature uncertainty for the balance of system power and loads. Consequently, the successful integration of solar PV power in large-scale power systems requires a reliable and efficient multi-area automat...

The smart grid innovation targets at the problems of integrating large portion of intermittent generation resources such as utility-scale and rooftop photovoltaics (PVs), while ensuring both the security and reliability of the electric power grid operation during severe disturbances. To enhance the operators’ performance, the information processing...

In this paper, the problem of robust adaptive fault-tolerant tracking control with state-prediction performance is analyzed for a class of Iot temperature systems subject to accuracy states uncertainties and external disturbances. In order to ensure the efficiency of our new adap-tive temperature control algorithm, we propose a new control strategy...

Distributed computation is an effective policy to increase the speed of the sparse networked systems. In a sparse network, clustering methods like k-means does not work directly as it cannot explore the connectivity of the system. To solve the problem, two modification methods are proposed in the existing graph and a new graph named Spatial Matrix...

A demand response management (DRM) system is proposed here, in which a service provider determines a mutual optimal solution for the utility and the customers in a microgrid setting. Such a system may find use with a service provider interacting with the respective customers and utilities under the existence of some DRM agreements. The service prov...

Internet of Things (IoT) is attempting to transform modern buildings into energy efficient, smart, and connected buildings, by imparting capabilities such as real-time monitoring, situational awareness and intelligence, and intelligent control. Digitizing the modern day building environment using IoT improves asset visibility and generates energy s...

This paper demonstrates integration of aggregate Plug-in Electric Vehicle (PEV) parking lots known as SmartParks, adjacent to a MW-scale Photovoltaic (PV) plant for mitigation of burden on synchronous generators during peak hours as well as enhancing the Available Transfer Capability (ATC) of area tie-lines. Simulations are carried out in the real-...

Particle Swarm Optimization (PSO), a computational intelligence (CI) technique, is applied in a laboratory environment to recognize existence of a pattern between the net energy consumption by the electric loads in the building and the ambient temperature along with the occupancy state of the building; and use the detected pattern to predict energy...

A transformation is underway in electric power and energy systems (EPESs) to provide clean distributed energy for sustainable global economic growth. Internet of Things (IoT) is at the forefront of this transformation imparting capabilities, such as real-time monitoring, situational awareness and intelligence, control, and cyber security to transfo...

Power system electromechanical mode identification is important in mitigating poorly damped oscillations. Stochastic subspace identification (SSI) is a data driven technique used for power system modeling and analysis. The data sensitivity of SSI method and its effects on power system electromechanical mode identification is studied in this paper....

The advancement of synchrophasor technologies validates the dynamic nature of the state variables of a power system. On the other hand, the need for privacy of data in the deregulated market and speed of computation for large power systems present the importance of a fast distributed state estimation method. To serve both purposes, a distributed dy...

The use of synchrophasor networks consisting of phasor measurement units (PMUs) makes it possible to monitor, analyzes, and control the electric power grid in real-time. PMU measurements of frequencies, currents, voltages, and phase angles are transmitted to system control centers through synchrophasor networks. Delayed or missing measurements from...

Several heuristic optimization methods including Particle Swarm Optimization (PSO) have been studied for power system state estimation and these perform quite well for small systems. However, in case of larger systems with hundreds of states, these suffer from the curse of dimensionality. To overcome this problem, a hybrid state estimator that cons...

Power system state estimation is a fundamental computational process that requires both speed and reliability. To meet the needs, some variants of the constant Jacobian methods have been used in the industry over the last several decades. The variants work very well under normal operating conditions with nominal values of the states. However, the c...

Switch-model power electronic inverters are heavily deployed as the main technology in enabling flow of variable DC power into the AC-grid. Various distributed energy system (DES) architectures have been designed depending on many attributes including size and application of the installed system. The reliability of the power electronic interfaces (...

The ever-increasing penetration level of renewable energy and electric vehicles threatens the operation of the power grid. Dealing with uncertainty in smart grids is critical in order to mitigate possible issues. This paper proposes a two-stage stochastic model for large-scale energy resources scheduling problem of aggregators in a smart grid. The...

This paper proposes a Building Energy Management System (BEMS) as part of an organization-based Multi- Agent system that models the Smart Home Electricity System (MASHES). The proposed BEMS consists of an Energy Management System (EMS) and a Prediction Engine (PE). The considered Smart Home Electricity System (SHES) consists of different agents, ea...

To prevent large interconnected power system from a cascading failure, brownout or even blackout, grid operators require access to faster than real-time information to make appropriate just-in-time control decisions. However, the communication and computational system limitations of currently used supervisory control and data acquisition (SCADA) sy...